diff --git a/R/trainingFunctions.R b/R/trainingFunctions.R
index 023fa3b..20307e8 100644
--- a/R/trainingFunctions.R
+++ b/R/trainingFunctions.R
@@ -269,10 +269,6 @@ fusemlr = function (training,
   if (!training$getVarSelDone() & use_var_sel) {
     training$varSelection(ind_subset = ind_subset,
                           verbose = training$getVerbose())
-  } else {
-    if (training$getVarSelDone() & use_var_sel) {
-      warning("Variable selection has been already performed.")
-    }
   }
   training$train(ind_subset = ind_subset,
                  use_var_sel = use_var_sel,
diff --git a/README.md b/README.md
index 8caaa0d..f0005a9 100644
--- a/README.md
+++ b/README.md
@@ -327,9 +327,6 @@ training <- fusemlr(training = training,
                                           k = 10L))
 ```
 
-    ## Warning in fusemlr(training = training, use_var_sel = TRUE, resampling_method =
-    ## NULL, : Variable selection has been already performed.
-
     ## Creating fold predictions.
 
     ##   |                                                                              |                                                                      |   0%  |                                                                              |=======                                                               |  10%  |                                                                              |==============                                                        |  20%  |                                                                              |=====================                                                 |  30%  |                                                                              |============================                                          |  40%  |                                                                              |===================================                                   |  50%  |                                                                              |==========================================                            |  60%  |                                                                              |=================================================                     |  70%  |                                                                              |========================================================              |  80%  |                                                                              |===============================================================       |  90%  |                                                                              |======================================================================| 100%
@@ -633,9 +630,6 @@ training <- fusemlr(training = training,
                     use_var_sel = TRUE)
 ```
 
-    ## Warning in fusemlr(training = training, use_var_sel = TRUE): Variable selection
-    ## has been already performed.
-
     ## Creating fold predictions.
 
     ##   |                                                                              |                                                                      |   0%  |                                                                              |=======                                                               |  10%  |                                                                              |==============                                                        |  20%  |                                                                              |=====================                                                 |  30%  |                                                                              |============================                                          |  40%  |                                                                              |===================================                                   |  50%  |                                                                              |==========================================                            |  60%  |                                                                              |=================================================                     |  70%  |                                                                              |========================================================              |  80%  |                                                                              |===============================================================       |  90%  |                                                                              |======================================================================| 100%